Training in progress, step 61875

README.md

@@ -1,9 +1,7 @@
 ---
-base_model: gpt2
-datasets:
-- wikimedia/wikipedia
-library_name: Distily
+library_name: transformers
 license: mit
+base_model: gpt2
 tags:
 - bitnet
 - 1.58b
@@ -13,147 +11,75 @@ model-index:
   results: []
 ---
 
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-# Summary
+# distily_multi_experiment
 
-Distilled with [Distily](https://github.com/lapp0/distily) library
-using teacher model [gpt2](https://huggingface.co/gpt2)
-on dataset [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia).
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.8595
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment.
+## Model description
 
-# Model description
+More information needed
+
+## Intended uses & limitations
 
 More information needed
 
-# Intended uses & limitations
+## Training and evaluation data
 
 More information needed
--->
-
-# Model Architecture:
-- **Architecture**: `GPT2LMHeadModel`
-- **Total Parameters**: 124,439,808
-- **Data Type (dtype)**: torch.bfloat16
-- **Model Size**: 0.24 GB
-
-
-# Evaluation Metrics Comparison
-
-| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
-| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
-| **teacher eval** |  | 43.25 | 61.25 |  |  |  |  | 11.6875 | 19.125 |
-| 0 | 0 | 2473901162496.0 | 170424302305280.0 | 25.7744 | 25.131 | 99.479 | 12.455 | 4060086272.0 | 71468255805440.0 |
-| 2500 | 0.0404 | 960.0 | 8064.0 | 6.1231 | 25.2285 | 99.094 | 12.407 | 652.0 | 6816.0 |
-| 5000 | 0.0808 | 380.0 | 1896.0 | 5.0307 | 25.2563 | 98.985 | 12.393 | 270.0 | 286.0 |
-| 7500 | 0.1212 | 230.0 | 824.0 | 4.5129 | 25.128 | 99.491 | 12.456 | 202.0 | 174.0 |
-| 10000 | 0.1616 | 171.0 | 628.0 | 4.2261 | 25.2755 | 98.91 | 12.384 | 151.0 | 173.0 |
-| 12500 | 0.2020 | 126.5 | 482.0 | 3.8533 | 25.2021 | 99.198 | 12.42 | 106.0 | 156.0 |
-| 15000 | 0.2424 | 109.5 | 430.0 | 3.6650 | 25.2487 | 99.015 | 12.397 | 88.0 | 155.0 |
-| 17500 | 0.2828 | 93.0 | 350.0 | 3.5198 | 25.1751 | 99.305 | 12.433 | 73.5 | 119.0 |
-| 20000 | 0.3232 | 77.5 | 282.0 | 3.3352 | 25.2573 | 98.981 | 12.392 | 63.25 | 135.0 |
-| 22500 | 0.3636 | 66.5 | 213.0 | 3.1511 | 25.1782 | 99.292 | 12.431 | 50.75 | 80.0 |
-| 25000 | 0.4040 | 63.25 | 197.0 | 3.0803 | 25.2258 | 99.105 | 12.408 | 44.5 | 80.5 |
-| 27500 | 0.4444 | 58.5 | 212.0 | 3.0299 | 25.2357 | 99.066 | 12.403 | 41.75 | 68.5 |
-| 30000 | 0.4848 | 58.5 | 202.0 | 3.0169 | 25.2481 | 99.017 | 12.397 | 43.25 | 91.5 |
-| 32500 | 0.5253 | 58.75 | 173.0 | 3.0014 | 25.2575 | 98.981 | 12.392 | 41.5 | 62.75 |
-| 35000 | 0.5657 | 57.25 | 164.0 | 2.9385 | 25.2523 | 99.001 | 12.395 | 38.0 | 49.0 |
-| 37500 | 0.6061 | 57.0 | 157.0 | 2.9163 | 25.1539 | 99.388 | 12.443 | 39.25 | 61.75 |
-| 40000 | 0.6465 | 54.75 | 172.0 | 2.8984 | 25.2388 | 99.054 | 12.402 | 35.0 | 67.5 |
-| 42500 | 0.6869 | 53.0 | 151.0 | 2.8789 | 25.2418 | 99.042 | 12.4 | 35.25 | 49.75 |
-| 45000 | 0.7273 | 49.5 | 134.0 | 2.7753 | 25.2511 | 99.005 | 12.395 | 30.25 | 42.25 |
-| 47500 | 0.7677 | 50.0 | 124.0 | 2.7506 | 25.2475 | 99.02 | 12.397 | 29.5 | 38.75 |
-| 50000 | 0.8081 | 49.0 | 124.5 | 2.7361 | 25.2146 | 99.149 | 12.413 | 28.75 | 38.25 |
-| 52500 | 0.8485 | 48.25 | 120.0 | 2.7262 | 25.1855 | 99.264 | 12.428 | 29.125 | 35.0 |
-| 55000 | 0.8889 | 47.75 | 117.0 | 2.7099 | 25.2332 | 99.076 | 12.404 | 28.25 | 33.0 |
-| 57500 | 0.9293 | 47.25 | 117.5 | 2.7045 | 25.2693 | 98.934 | 12.387 | 28.0 | 32.5 |
-| 60000 | 0.9697 | 47.25 | 116.5 | 2.7013 | 25.2549 | 98.991 | 12.394 | 27.875 | 32.25 |
-| 61875 | 1.0 | 47.25 | 116.5 | 2.7009 | 25.2212 | 99.123 | 12.41 | 28.0 | 32.25 |
-
-# Resource Usage Comparison
-
-- VRAM Use: 7.7830 GB
-
-# Distillation (Teacher -> Student) Architecture Difference:
-
-- **Architecture**: `GPT2LMHeadModel` -> `GPT2LMHeadModel`
-- **Total Parameters**: 124,439,808 -> 124,439,808
-- **Data Type (dtype)**: torch.bfloat16 -> torch.bfloat16
-- **Model Size**: 0.24 GB -> 0.24 GB
-
-<details>
-<summary>Module Diff Details</summary>
-
-```diff
-
-```
-
-</details>
-<br/>
-
-# Train Dataset
-Trained on 145,744,973 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
-
-- Num Samples: `247,500`
-- Subset: `20231101.en`
-- Split: `train`
-
-
-# Training Objective
-
-```
-DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))
-```
-
-# Hyperparameters
+
+## Training procedure
+
+### Training hyperparameters
+
 The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.5
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| No log        | 0      | 0     | 45.5392         |
+| 19.25         | 0.0404 | 2500  | 20.5160         |
+| 17.0          | 0.0808 | 5000  | 18.1646         |
+| 16.375        | 0.1212 | 7500  | 16.8100         |
+| 18.5          | 0.1616 | 10000 | 15.9662         |
+| 18.125        | 0.2020 | 12500 | 14.8913         |
+| 16.125        | 0.2424 | 15000 | 14.2909         |
+| 13.875        | 0.2828 | 17500 | 13.9054         |
+| 12.5625       | 0.3232 | 20000 | 13.4260         |
+| 13.8125       | 0.3636 | 22500 | 12.9026         |
+| 14.5625       | 0.4040 | 25000 | 12.6783         |
+| 15.1875       | 0.4444 | 27500 | 12.5651         |
+| 13.4375       | 0.4848 | 30000 | 12.5742         |
+| 6.8125        | 0.5253 | 32500 | 12.5106         |
+| 12.0          | 0.5657 | 35000 | 12.3849         |
+| 13.9375       | 0.6061 | 37500 | 12.3297         |
+| 5.375         | 0.6465 | 40000 | 12.2764         |
+| 20.625        | 0.6869 | 42500 | 12.2612         |
+| 10.0          | 0.7273 | 45000 | 12.0058         |
+| 18.75         | 0.7677 | 47500 | 11.9614         |
+| 10.0625       | 0.8081 | 50000 | 11.9339         |
+| 16.0          | 0.8485 | 52500 | 11.9123         |
+| 18.625        | 0.8889 | 55000 | 11.8770         |
+| 15.875        | 0.9293 | 57500 | 11.8680         |
+| 11.25         | 0.9697 | 60000 | 11.8611         |
+
+
+### Framework versions
 
-<details>
-<summary>Expand</summary>
-
-- learning_rate: `0.0001`
-- train_batch_size: `4`
-- eval_batch_size: `8`
-- seed: `42`
-- optimizer: `Adam with betas=(0.9,0.999) and epsilon=1e-08`
-- lr_scheduler_type: `linear`
-- lr_scheduler_warmup_ratio: `0.5`
-- num_epochs: `1.0`
-- distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))`
-- train_embeddings: `True`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f14d416e830>`
-- student_model_name_or_path: `None`
-- student_config_name_or_path: `None`
-- student_model_config: `None`
-- reinitialize_weights: `None`
-- copy_teacher_modules: `[('lm_head', False)]`
-- student_model_as_bitnet: `True`
-- student_model_compile: `False`
-- dropout: `None`
-- teacher_model_name_or_path: `gpt2`
-- teacher_load_in_8bit: `False`
-- teacher_load_in_4bit: `False`
-- teacher_model_compile: `False`
-- dataset_uri: `wikimedia/wikipedia`
-- dataset_subset: `20231101.en`
-- dataset_split: `train`
-- dataset_column_name: `text`
-- dataset_sample_size: `250000`
-- dataset_test_size: `0.01`
-- gradient_accumulation_steps: `1`
-- weight_decay: `0.0`
-- max_grad_norm: `1.0`
-- warmup_ratio: `0.5`
-- warmup_steps: `0`
-- gradient_checkpointing: `True`
-
-</details>
-<br/>
-
-
-# Framework Versions
-- Distily 0.2.0
 - Transformers 4.44.1
 - Pytorch 2.5.0.dev20240821+cu121
 - Datasets 2.21.0
+- Tokenizers 0.19.1

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